SOURCE-LINKED INTELLIGENCE
Geometric and Semantic Coupling for Interaction Understanding in 3D Scenes
Interaction understanding in 3D scenes requires a joint description of movable parts, their motion, and the regions through which they can be operated. We present Segment-Snap, which connects these outputs through the physical relationship between parts and handles. Learned predictors identify broad part surfaces and small handles. A geometric decoder uses planar and upright priors to constrain motion, then selects hinge lines using predicted handle locations, without training a motion regressor. Conversely, a joint part-and-handle predictor supplies additional handle candidates, whose motion
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-21T18:02:34.000Z
First collected: 2026-09-23T06:11:12.848Z. This is not the publication date.